Handbook of regression modeling in people analytics : with examples in R and Python

著者

• McNulty, Keith

書誌事項

Handbook of regression modeling in people analytics : with examples in R and Python

Keith McNulty

CRC Press, 2021

注記

Includes bibliographical references (p. 247-248) and index

内容説明・目次

内容説明

* 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) * Clear step-by-step instructions on executing the analyses. * Clear guidance on how to interpret results. * Primary instruction in R but added sections for Python coders. * Discussion exercises and data exercises for each of the main chapters. * Final chapter of practice material and datasets ideal for class homework or project work.

目次

1. The Importance of Regression in People Analytics. 2. The Basics of the R Programming Language. 3. Statistics Foundations. 4. Linear Regression for Continuous Outcomes. 5. Binomial Logistic Regression for Binary Outcomes. 6. Multinomial Logistic Regression for Nominal Category Outcomes. 7. Ordinal Logistic Regression for Ordered Category Outcomes. 8. Modeling Explicit and Latent Hierarchical Structure in Data. 9. Survival Analysis for Modeling the Occurrence of Singular Events Over Time. 10. Alternative Technical Approaches in R and Python. 11. Power Analysis to Estimate Required Sample Sizes for Inferential Modeling. 12. Further Exercises for Practice.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BC10770909
• ISBN:
  • 9781032041742
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton
• ページ数/冊数: xvi, 255 p.
• 大きさ: 24 cm
• 分類:
  • LCC : QA278.2
  • DC23 : 519.5/36
• 件名:
  • LCSH : Regression analysis
  • LCSH : Mathematical statistics
  • LCSH : R (Computer program language)
  • LCSH : Python (Computer program language)